My visibility and publication profile from different sources:

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• • 0000-0003-0276-1391 •

Publications

Research word cloud based on the titles of my papers.

In Review

• E. A. A. Bejarano, G. Figueredo, S. Woodward, H. W. Lam, E. Özcan, R. Rit, HCat-GNet: An Interpretable Graph Neural Network for Catalysis Optimization, ChemRxiv, 2024. [PDF]

2024

• L. Hong, G. Wang, E. Özcan, J. Woodward, Ensemble strategy using particle swarm optimisation variant and enhanced local search capability, Swarm and Evolutionary Computation, Volume 84, 101452, 2024. [PDF]
• B. Zeren, M. Deveci, and E. Özcan, An adaptive greedy heuristic for large scale airline crew pairing problems, Journal of Air Transport Management, Volume 114, 102492, 2024. [PDF]
• K. J. Ho, E. Özcan, P. O. Siebers, Efficient Multi-Objective Simulation Metamodeling for Researchers, Algorithms 2024, 17(1), 41. [PDF]

2023

• M. Deveci, A. R. Mishra, I. Gokasar, P. Rani, D. Pamucar, and E. Özcan, A decision support system for assessing and prioritizing sustainable urban transportation in metaverse, IEEE Transactions on Fuzzy Systems, vol. 31, no. 2, pp. 475-484, Feb 2023. [PDF]
• G. Ntourmas, F. Glock, F. Daoud, G. Schuhmacher, D. Chronopoulos, E. Özcan, and J. Ninić, Layup time for an Automated Fibre Placement process in the framework of a detailed sizing optimisation, Composites Part B: Engineering, Vol. 258, pp. 110714, June 2023. [PDF]
• W. Li, E. Özcan, J. H. Drake, M. Maashi, A Generality Analysis of Multiobjective Hyper-heuristics, Information Sciences, Vol. 627, pp. 34-51, May 2023. [PDF]
• V. T. Ramamoorthy, E. Özcan, A. J. Parkes, L. Jaouen,and F.-X. Bécot, Multiobjective topology optimisation for acoustic porous materials using gradient-based, gradient-free, and hybrid strategies, J Acoust Soc Am, 153 (5): 2945-2955, 2023. [PDF]
• E. Sonuç and E. Özcan, An adaptive parallel evolutionary algorithm for solving the uncapacitated facility location proble, Expert Systems with Applications, Vol. 224, 119956, August 2023. [PDF]
• D. B. Gümüş, E. Özcan, J. Atkin, J. H. Drake, An investigation of F-Race training strategies for cross domain optimisation with memetic algorithms, Information Sciences, Vol. 619, pp. 153-171, 2023. [PDF]
• G. Ntourmas, F. Glock, S. Deinert, F. Daoud, G. Schuhmacher, D. Chronopoulos, E. Özcan, and J. Ninić, Stacking sequence optimisation of an aircraft wing skin, Structural and Multidisciplinary Optimization 66, 31, 2023. [PDF]
• J. Hey, P. Siebers, P. Nathanail,E. Ozcan, and D. Robinson, Surrogate optimization of energy retrofits in domestic building stocks using household carbon valuations, Journal of Building Performance Simulation, 16:1, pp. 16-37,2023. [PDF]

2022

• G. Corrado, G. Ntourmas, M. Sferza, N. Traiforos, A. Arteiro, L. Brown, D Chronopoulos, F Daoud, F Glock, J Ninic, E Ozcan, J Reinoso, G Schuhmacher, T Turner, Recent progress, challenges and outlook for multidisciplinary structural optimization of aircraft and aerial vehicles, Progress in Aerospace Sciences, Vol. 135, pp. 100861, 2022. [PDF]
• V. A. de Santiago Junior, E. Özcan, J. M. Balera, Many-objective test case generation for graphical user interface applications via search-based and model-based testing, Expert Systems with Applications,Vol. 208, 118075, 2022. [PDF]
• Y. E. Kok, S. Woodward, E. Özcan, M. Torres Torres, Identifying Chirality in Line Drawings of Molecules Using Imbalanced Dataset Sampler for a Multilabel Classification Task, Molecular Informatics, available online, June 2022 [demo - check chiral elements in a molecule] [enrich the dataset for future research - provide chiral molecule image(s)]. [PDF]
• B. Owen, K. Wheelhouse, G. Figueredo, E. Özcan, and S. Woodward, Machine learnt patterns in rhodium-catalysed asymmetric Michael addition using chiral diene ligands, Results in Chemistry, vol. 4, 100379, 2022, DOI:10.1016/j.rechem.2022.100379. [PDF]
• H. Song, B. Deng, M. Pound, E. Özcan, and I. Triguero, A fusion spatial attention approach for few-shot learning, Information Fusion, 81, pp. 187–202, 2022, DOI:10.1016/j.inffus.2021.11.019 (available online [PDF]).
• M. Deveci, S. C. Öner, M. E. Ciftci, E. Özcan, and D. Pamucar, Interval type-2 hesitant fuzzy Entropy-based WASPAS approach for aircraft type selection, Applied Soft Computing, Volume 114, 108076, 2022, DOI:10.1016/j.asoc.2021.108076 (available online [PDF]). [PDF]
• J. Swan, S. Adraensen, C. G. Johnson, A. Kheiri, F. Krawiec, J.J. Merelo, L. L. Minku, E. Özcan, G. L. Pappa, P. García-Sánchez, K. Sörensen, S. Voss, M. Wagner, D. R. White, Metaheuristics “In the Large”, European Journal of Operational Research, Vol. 297, Issue 2, pp. 393-406, 2022, DOI:10.1016/j.ejor.2021.05.042 (available online [PDF]). [PDF]

2021

• G. Ntourmas, F. Glock, F. Daoud, G. Schuhmacher, D.Chronopoulos, and E. Özcan, Generic stacks and application of composite rules for the detailed sizing of laminated structures, Composite Structures, Vol. 276, 114487, 2021, DOI:10.1016/j.compstruct.2021.114487 (available online [PDF]). [PDF]
• V. T. Ramamoorthy, E. Özcan, A. J. Parkes, A. Sreekumar, L. Jaouen, and F-X Bécot, Comparison of heuristics and metaheuristics for topology optimisation in acoustic porous materials, The Journal of the Acoustical Society of America 150, pp. 3164-3175, 2021 (available online [PDF]). [PDF]
• D. Deliktaş, E. Özcan, O. Ustun, and O. Torku, Evolutionary algorithms for multi-objective flexible job shop cell scheduling, Applied Soft Computing, Vol. 113, 107890, Part A, 2021, DOI:10.1016/j.asoc.2021.107890 (available online [PDF]). [PDF]
• H. Song, M. Torres Torres, E. Özcan, I. Triguero, L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout, Neurocomputing, Volume 442, pp. 200-208, 2021 (available online [PDF]). [PDF]
• M. Deveci, E. Özcan, R. John, D. Pamucar, and H. Karaman, Offshore wind farm site selection using interval rough numbers based Best-Worst Method and MARCOS, Applied Soft Computing, Vol. 109, 107532, 2021, DOI:10.1016/j.asoc.2021.107532 (available online [PDF]). [PDF]
• G. Ntourmas, F. Glock, F. Daoud, G. Schuhmacher, D.Chronopoulos, and E. Özcan, Mixed Integer Linear Programming formulations of the stacking sequence and blending optimisation of composite structures, Composite Structures, Vol. 264, 113660, 2021, DOI:10.1016/j.compstruct.2021.113660 (available online [PDF]). [PDF]
• V.R. de Carvalho, E. Özcan, J.S. Sichman, Comparative Analysis of Selection Hyper-Heuristics for Real-World Multi-Objective Optimization Problems, Appl. Sci. 11(19):9153, 2021 (available online [PDF]).
• S. Türk, M. Deveci, E. Özcan, F. Canitez, R. John, Interval type-2 fuzzy sets improved by Simulated Annealing for locating the electric charging stations, Information Sciences, 547: 641-666, 2021, DOI:10.1016/j.ins.2020.08.076 (available online [PDF]). [PDF]
• S. Türk, E. Özcan, R. John, Many-objective Optimisation for an Integrated Supply Chain Management Problem, In: Matousek R., Kudela J. (eds) Recent Advances in Soft Computing and Cybernetics. Studies in Fuzziness and Soft Computing, vol 403., pp. 97-111, 2021, Springer, Cham. https://doi.org/10.1007/978-3-030-61659-5_9. [PDF]

2020

• V. Alexandre de Santiago Júnior, E. Özcan, V. Renan de Carvalho, Hyper-Heuristics based on Reinforcement Learning, Balanced Heuristic Selection and Group Decision Acceptance, Applied Soft Computing, vol 97, Part A, 2020, 106760, DOI:10.1016/j.asoc.2020.106760. (available online [PDF]).
• M. Deveci, E. Özcan, R. John, C.-F. Covrig, D. Pamucar, A study on offshore wind farm siting criteria using a novel interval-valued fuzzy-rough based Delphi method, Journal of Environmental Management, vol. 270, 2020, 110916, DOI:10.1016/j.jenvman.2020.110916 (available online [PDF]).
• A. Kheiri, L. Ahmed, B. Boyaci, J. Gromicho, C. Mumford, E. Özcan, A.S. Dirikoc, Exact and hyper-heuristic solutions for the distribution-installation problem from the VeRoLog 2019 challenge, Networks 76(2): 294-319, 2020, DOI:10.1002/net.21962 (available online [PDF]). [PDF]
• L. J.P. Araujo, A. Panesar, E. Özcan, J. Atkin, M. Baumers and I. Ashcroft, An experimental analysis of Deepest-Bottom-Left-Fill packing methods for Additive Manufacturing, International Journal of Production Research, 58(22), pp. 6917-6933, 2020, DOI: 10.1080/00207543.2019.1686187 (available online [PDF]). [PDF]
• F. Garza-Santisteban, I. Amaya, J. Cruz-Duarte, J.C. Ortiz-Bayliss, E. Özcan, and H. Terashima-Marin, Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem, 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, United Kingdom, pp. 1-8, 2020, doi: 10.1109/CEC48606.2020.9185709 (available online [PDF]).
• J. H. Drake, A. Kheiri, E. Özcan, and E. K. Burke, Recent Advances in Selection Hyper-heuristics, European Journal of Operational Research, vol. 285, no. 2, pp. 405-428, 2020, DOI:10.1016/j.ejor.2019.07.073 (invited review) (Open Access - available online [PDF]).
• T. R. Farshi, J. H. Drake, and E. Özcan, A multimodal particle swarm optimization-based approach for image segmentation, Expert Systems with Applications, vol. 149, 2020, doi.org/10.1016/j.eswa.2020.113233 (available online [PDF]). [PDF]
• I. A. Güney, K. Poyraz, G. Küçük, and E. Özcan, Hyper-heuristics for explicit resource partitioning in simultaneous multi-threaded processors, Turk J Elec Eng & Comp Sci, 28: 821-835, DOI:10.3906/elk-1904-49 (available online [PDF]). [PDF]
• M. Deveci, E. Özcan, R. John, Offshore Wind Farms: A Fuzzy Approach to Site Selection in a Black Sea Region, 2020 IEEE Texas Power and Energy Conference (TPEC), pp. 1-6, 2020 (available online [PDF]).

2019

• W. Li, E. Özcan and R. John, A Learning Automata based Multiobjective Hyper-heuristic, IEEE Transactions on Evolutionary Computation, vol. 23, no. 1, pp. 59-73, 2019 [original PDF]. [PDF]
• L. J.P. Araujo, E. Özcan, J. A.D. Atkin, and M. Baumers, Analysis of irregular three-dimensional packing problems in Additive Manufacturing: A new taxonomy and dataset, International Journal of Production Research, DOI:10.1080/00207543.2018.1534016, 57(18), pp. 5920-5934, 2019 [Original PDF]. [PDF]
• V. T. Ramamoorthy, E. Özcan, A. J. Parkes, J. Luc, F-X. Bécot, Metaheuristic optimisation of sound absorption performance of multilayered porous materials, Proceedings of the 23rd International Congress on Acoustics (ICA), Aachen, Germany, 2019. [PDF]
• G. Ntourmas, Ender Özcan, D. Chronopoulos, F. Glock, and F. Daoud, Towards a streamlined stacking sequence optimisation methodology for blended composite aircraft structures, Proceedings of 8th European Conference for Aeronautics and Aerospace Sciences (EUCASS), 2019. [PDF]
• B. Zeren, M. Deveci, S. Coupland, R. John and E. Ozcan, A Study on the Interpretability of a Fuzzy System to Control an Inverted Pendulum, 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), New Orleans, LA, USA, pp. 1-6. doi: 10.1109/FUZZ-IEEE.2019.8858891. [PDF]
• R. Tickle, I. Triguero, G. P. Figueredo, E. Ozcan and R. I. John, Fuzzy Hot Spot Identification for Big Data: An Initial Approach, 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), New Orleans, LA, USA, pp. 1-6.doi: 10.1109/FUZZ-IEEE.2019.8858979. [PDF]
• H. Song, I. Triguero, and E. Özcan, A Review on the Self and Dual Interactions between Machine Learning and Optimisation, Progress in Artificial Intelligence, vol. 8, no. 2, pp. 143-165, DOI:10.1007/s13748-019-00185-z (available online), 2019. [PDF]
• E. K. Burke, M. Hyde, G. Kendall, G. Ochoa, E. Özcan and J. Woodward, A Classification of Hyper-heuristic Approaches: Revisited, In Gendreau, M, and Potvin, JY. (eds.), Handbook of Metaheuristics, International Series in Operations Research & Management Science, vol. 272, pp. 453-477. Springer Cham, 2019. [PDF]
• N. Pillay, and E. Özcan, Automated Generation of Constructive Ordering Heuristics for Educational Timetabling, Annals of Operations Research, 275(1), pp. 181-208, 2019 [original PDF]. [PDF]
• A. J. Parkes, N Beglou and E. Özcan, Learning the quality of dispatch heuristics generated by automated programming, Lecture Notes in Computer Science 11353, LION 12 (2018), pp. 154-158, 2019.

2018

• W. G. Jackson, E. Özcan and R. I. John, Move Acceptance in Local Search Metaheuristics for Cross-domain Search, Expert Systems with Applications, 109: 131-151, 2018 [original PDF]. [PDF]
• D. Wilson, S. Rodrigues, C. Segura, I. Loshchilov, F. Hutton, G. López Buenfil, A. Kheiri, E. Keedwell, M. Ocampo-Pineda,E. Özcan, S. I. V. Peña, B. Goldman, S. B. Rionda, A. Hernández-Aguirre, K. Veeramachaneni, and S. Cussat-Blanc, Evolutionary computation for wind farm layout optimization, Renewable Energy, 126: 681-691, 2018 [original PDF]. [PDF]
• S. H. Khajavi, M. Baumers, J. Holmström, E. Özcan, J. Atkin, W. Jackson, W. Li, To Kit or Not To Kit: Analysing the Value of Model-Based Kitting for Additive Manufacturing, Computers in Industry, 98: 100-117, 2018 [original PDF]. [PDF]
• M. Deveci, E. Özcan, R. John, S. C. Öner, Interval Type-2 Hesitant Fuzzy Set Method for Improving the Service Quality of Domestic Airlines in Turkey, Journal of Air Transport Management, 69: 83-98, 2018 [original PDF]. [PDF]
• A. Elhag and E. Özcan, Data Clustering Using Grouping Hyper-heuristics, EvoCOP 2018: 101-115, 2018. [PDF]
• L. Hong, J. H. Drake, J. Woodward, and E. Özcan, A Hyper-heuristic Approach to Automated Generation of Mutation Operators for Evolutionary Programming, Applied Soft Computing, doi: 10.1016/j.asoc.2017.10.002, vol. 62, pp. 162-175, 2018 [original PDF]. [PDF]
• J. Swan, P. De Causmaecker, S. Martin, and E. Özcan, A re-characterization of hyper-heuristics, Eds. L. Amodeo, E-G. Talbi, F. Yalaoui, pp. 75-89, Recent Developments in Metaheuristics. Operations Research/Computer Science Interfaces Series, vol 62. Springer, 2018. [PDF]
• H. Abdulaziz, A. Elnahas, A. Daffalla, Y. Noureldien, A. Kheiri, and E. Özcan, Late Acceptance Selection Hyper-heuristic for Wind Farm Layout Optimisation Problem, International Conference on Computer, Control, Electrical, and Electronics Engineering, ICCCEEE 2018, 2018.

2017

• A. Muklason, A.J. Parkes, E. Özcan, Barry McCollum and Paul McMullan, Fairness in Examination Timetabling: Student Preferences and Extended Formulations, Applied Soft Computing, 55: 302-318, 2017 [original PDF]. [PDF]
• W. Li, E. Özcan and R. John, Multi-objective Evolutionary Algorithms and Hyper-heuristics for Wind Farm Layout Optimisation, Renewable Energy, vol. 105, pp. 473-482, 2017 [original PDF]. [PDF]
• S. Türk, E. Özcan, and R. John, Multi-objective Optimisation in Inventory Planning with Supplier Selection, Expert Systems with Applications, vol. 78, pp. 51-63, 2017 [original PDF]. [PDF]
• W. Li, E. Özcan, R. John, J. H. Drake, A. Neumann and M. Wagner, A Modified Indicator-based Evolutionary Algorithm (mIBEA), Proc. of the 2017 IEEE Congress on Evolutionary Computation (CEC), pp. 1047 - 1054, 2017 [original PDF]. [PDF]
• W. Jackson, E. Özcan and R. John, Tuning a Simulated Annealing Metaheuristic for Cross-domain Search, Proc. of the 2017 IEEE Congress on Evolutionary Computation (CEC), pp. 1055-1062, 2017. [PDF]
• R. Tyasnurita, E. Özcan and R. John, Learning Heuristic Selection using a Time Delay Neural Network for Open Vehicle Routing, Proc. of the 2017 IEEE Congress on Evolutionary Computation (CEC), pp. 1474-1481. [PDF]
• J. Swan, J. Drake, G. Neumann and E. Özcan, Sparse, Continuous Policy Representations for Uniform Online Bin Packing via Regression of Interpolants, EvoStar 2017: 189-200, LNCS 10197, 2017 [original PDF]. [PDF]
• P.-O.Siebers, Y.F. Deng, J. Thaler, H. Schnädelbach and E. Özcan, Proposal of a Design Pattern for Embedding the Concept of Social Forces in Human Centric Simulation Models, Proceedings of the Operational Research Society Simulation Workshop 2018, SW 2018, A.Anagnostou, R.Meskarian, D.Robertson (eds.), pp. 88-97, 2017. [PDF]

2016

• S. Asta, D. Karapetyan, A. Kheiri, E. Özcan, and A.J. Parkes, Combining Monte-Carlo and Hyper-heuristic methods for the Multi-mode Resource-constrained Multi-project Scheduling Problem, Information Sciences, vol. 373, pp. 1339-1351, DOI: 10.1016/j.ins.2016.09.010 (description of the winning algorithm of the MISTA 2013 challenge), 2016 [original PDF]. [PDF]
• E. Özcan, J. H. Drake, C. Altintas, and S. Asta, A Self-adaptive Multimeme Memetic Algorithm Co-evolving Utility Scores to Control Genetic Operators and Their Parameter Settings, Applied Soft Computing, vol. 49, pp. 81–93, DOI: 10.1016/j.asoc.2016.07.032, 2016 [original PDF]. [PDF]
• S. Asta, E. Özcan, and A.J. Parkes, CHAMP: Creating Heuristics via Many Parameters for Online Bin Packing, Expert Systems With Applications, vol. 63, pp. 208-221, doi:10.1016/j.eswa.2016.07.005, 2016 [original PDF]. [PDF]
• S. Martin, D. Ouelhadj, P. Beullens, E. Özcan, A. A. Juan,E.. K. Burke, A multi-agent based cooperative approach to scheduling and routing, European Journal of Operational Research, 254 (1), pp. 169-178, DOI: 10.1016/j.ejor.2016.02.045, 2016 [original PDF]. [PDF]
• S. Asta, E. Özcan, and T. Curtois, A Tensor Based Hyper-heuristic for Nurse Rostering, Knowledge-Based Systems, vol. 198, pp. 185-199, DOI: 10.1016/j.knosys.2016.01.031, 2016 [original PDF]. [PDF]
• J. Drake, E. Özcan and E. K. Burke, A Case Study of Controlling Crossover in a Selection Hyper-heuristic Framework using the Multidimensional Knapsack Problem, Evolutionary Computation, vol. 24, no. 1, pp. 113-141, DOI: 10.1162/EVCO_a_00145, 2016 [original PDF]. [PDF]
• A. Kheiri, E. Özcan, and A.J. Parkes, A Stochastic Local Search Algorithm with Adaptive Acceptance for High-school Timetabling, Annals of Operations Research, vol. 139, issue 1, pp. 135-151, DOI: 10.1007/s10479-014-1660-0, 2016 [original PDF]. [PDF]
• A. Kheiri and E. Özcan, An Iterated Multi-stage Selection Hyper-heuristic, European Journal of Operational Research, (250)1:77–90, 2016 [original PDF]. [PDF]
• J.A. Soria-Alcaraz, E. Özcan, J. Swan, G. Kendall, and M. Carpio, Iterated Local Search Using an Add and Delete Hyper-heuristic for University Course Timetabling, Applied Soft Computing, DOI:10.1016/j.asoc.2015.11.043, vol. 40, pp. 581-593, 2016 [original PDF]. [PDF]
• L. J.P. Araujo, E. Özcan, J. A.D. Atkin, and M. Baumers, A part complexity measurement method supporting 3D Printing, Proceedings of the 32nd International Conference on Printing for Fabrication 2016 (NIP32), to appear. [PDF]
• A. Kheiri, E. Özcan, R. Lewis, and J. Thompson, A Sequence-based Selection Hyper-heuristic: Case Study in Multi-stage Nurse Rostering Problem, Proc. of the 11th Int. Conf. of the Practice and Theory of Automated Timetabling (PATAT 2016), pp. 503-505, 2016. [PDF]
• A. Muklason, A. J. Parkes, B. McCollum,and E. Özcan, Cohort Fairness in Examination Timetabling Problems, Proc. of the 11th Int. Conf. of the Practice and Theory of Automated Timetabling (PATAT 2016), pp. 529, 2016. [PDF]
• N. Pillay and E. Özcan, Evolving Construction Ordering Heuristics for Educational Timetabling Problems, Proc. of the 11th Int. Conf. of the Practice and Theory of Automated Timetabling (PATAT 2016), pp. 541–544, 2016. [PDF]
• M. Baumers and E. Özcan, Scope for Machine Learning in Digital Manufacturing, CoRR abs/1609.05835, 2016. [PDF]
• D. B. Gumus, E. Özcan and J. Atkin, An Analysis of the Taguchi Method for Tuning a Memetic Algorithm with Reduced Computational Time Budget, Communications in Computer and Information Science: Proceedings of ISCIS 2016, pp. 12-20, 2016. [PDF]
• A. Almutairi, E. Özcan, A. Kheiri and W. Jackson, Performance of Selection Hyper-heuristics on the Extended HyFlex Domains, Communications in Computer and Information Science: Proceedings of ISCIS 2016, pp. 154-162, 2016. [PDF]
• A. Kheiri, M. Misir and E. Özcan, Ensemble Move Acceptance in Selection Hyper-heuristics, Communications in Computer and Information Science: Proceedings of ISCIS 2016, pp. 21-29, 2016. [PDF]
• L. Hong, J. H. Drake, J. Woodward, and E. Özcan, Automatically Designing More General Mutation Operators of Evolutionary Programming for Groups of Function Classes Using a Hyper-Heuristic, Proceedings of the Annual Conference on Genetic and Evolutionary Computation (GECCO '16), pp. 725-732, 2016. [PDF]
• D. Betul Gumus, E. Özcan and J. Atkin, An Investigation of Tuning a Memetic Algorithm for Cross-domain Search, Proc. of the 2016 IEEE Congress on Evolutionary Computation (CEC), pp. 135-142, 2016. [PDF]
• W. G. Jackson, E. Özcan and R. I. John, A Comparative Study of Fuzzy Parameter Control in a General Purpose Local Search Metaheuristic, Proc. of the 2016 IEEE Congress on Evolutionary Computation (CEC), pp. 127-134, 2016. [PDF]

2015

• M. Deveci, N. C. Demirel, R. John, E. Özcan, Fuzzy multi-criteria decision making for carbon dioxide geological storage in Turkey, Journal of Natural Gas Science & Engineering, (27)2:692-705, 2015 [original PDF]. [PDF]
• E. K. Burke, J. H. Drake, B. McCollum, and E. Özcan, Comments on: An overview of curriculum-based course timetabling, TOP, DOI: 10.1007/s11750-015-0362-3, (23)2:355-358, 2015 [original PDF].
• S. Asta and E. Özcan, A Tensor-based Selection Hyper-heuristic for Cross-domain Heuristic Search, Information Sciences, DOI: 10.1016/j.ins.2014.12.020, vol. 299, pp. 412-432, 2015, available online from 2014 [original PDF]. [PDF]
• M. Maashi, G. Kendall and E. Özcan, Choice Function based Hyper-heuristics for Multi-objective Optimization, Applied Soft Computing, 28:312-326, 2015. [PDF]
• H. Mujtaba, G. Kendall, R. Baig and E. Özcan, Detecting Change and Dealing with Uncertainty in Imperfect Evolutionary Environments, Information Sciences, DOI: 10.1016/j.ins.2014.12.053, vol. 302, pp. 33-49, 2015 [original PDF]. [PDF]
• L. N. Ahmed, E. Özcan, and A. Kheiri, Solving High School Timetabling Problems Worldwide Using Selection Hyper-heuristics, Expert Systems With Applications, DOI: 10.1016/j.eswa.2015.02.059, vol. 42(13):5463-5471, 2015 [original PDF]. [PDF]
• A. Elhag and E. Özcan, A Grouping Hyper-Heuristic Framework: Application on Graph Colouring, Expert Systems With Applications, DOI: 10.1016/j.eswa.2015.01.038, vol. 42(13):5491-5507, 2015 [original PDF]. [PDF]
• L. J.P. Araujo, E. Özcan, J. A.D. Atkin, M. Baumers, C. Tuck and R. Hague, Toward Better Build Volume Packing in Additive Manufacturing: Classification Of Existing Problems and Benchmarks, Proceedings of the 2015 Annual International Solid Freeform Fabrication Symposium, pp. 401-410, 2015. [PDF]
• R. Tyasnurita, E. Özcan, S. Asta and R. John, Improving Performance of a Hyper-heuristic Using a Multilayer Perceptron for Vehicle Routing, Proceedings of the 15th Annual Workshop on Computational Intelligence (UKCI), to appear, 2015. [PDF]
• S. Asta and E. Özcan, A Tensor Analysis Improved Genetic Algorithm for Online Bin Packing, Proceedings of the Annual Conference on Genetic and Evolutionary Computation (GECCO '15), pp. 799-806, 2015. [PDF]
• J. Swan, S. Adriaensen, M. Bishr, E. K. Burke, J. A. Clark, P. De Causmaecker, J. Durillo, K. Hammond, E. Hart, C. G. Johnson, Z. A. Kocsis, B. Kovitz, K. Krawiec, S. Martin, J. J. Merelo, L. L. Minku, E. Özcan, G. L. Pappa, E. Pesch, P. Garcia-Sanchez, A. Schaerf, K. Sim, J. E. Smith, T. Stutzle, S. Voss, S. Wagner, X. Yao, A Research Agenda for Metaheuristic Standardization, The 11th edition of the Metaheuristics International Conference (MIC 2015). [PDF]
• A.J. Parkes, E. Özcan, and D. Karapetyan, A Software Interface for Supporting the Application of Data Science to Optimisation, LION 9, Lecture Notes in Computer Science 8994, pp. 306-311, 2015. [PDF]
• J. H. Drake, E. Özcan and E. K. Burke, Modified Choice Function Heuristic Selection for the Multidimensional Knapsack Problem, Genetic and Evolutionary Computing, Advances in Intelligent Systems and Computing, vol. 329, pp. 225-234, 2015. [PDF]
• J. H. Drake, E. Özcan and E. K. Burke, A Comparison of Crossover Control Mechanisms within Single-point Selection Hyper-heuristics using HyFlex, Proc. of the 2015 IEEE Congress on Evolutionary Computation (CEC), pp. 3397-3403, 2015. [PDF]
• J. H. Drake, E. Özcan and E. K. Burke, A Modified Choice Function Hyper-heuristic Controlling Unary and Binary Operators, Proc. of the 2015 IEEE Congress on Evolutionary Computation (CEC), pp. 3389-3396, 2015. [PDF]
• Seda Turk, Simon Miller, E. Özcan and Robert John, A Simulated Annealing Approach to Supplier Selection Aware Inventory Planning, Proc. of the 2015 IEEE Congress on Evolutionary Computation (CEC), , pp. 1799–1806, 2015. [PDF]

2014

• S. Abdul-Rahman, A. Bargiela, E. K. Burke, E. Özcan, B. McCollum and P. McMullan, Adaptive Linear Combination of Heuristic Orderings in Constructing Examination Timetable, European Journal of Operational Research, 232 (2), pp. 287-297, 2014 (available online from 2013). [PDF]
• A. Kheiri and E. Özcan, Constructing Constrained-Version of Magic Squares Using Selection Hyper-heuristics, The Computer Journal, 57(3), pp. 469-479, 2014 (available online from 2013) [original PDF]. [PDF]
• M. Maashi, E. Özcan and G. Kendall, A Multi-objective Hyper-heuristic based on Choice Function, Expert Systems with Applications, 41 (9), pp. 4475-4493, 2014 [original PDF]. [PDF]
• J. H. Drake, M. Hyde, K. Ibrahim and E. Özcan, A Genetic Programming Hyper-Heuristic for the Multidimensional Knapsack Problem, Kybernetes, Vol. 43, Iss: 9/10, pp.1500-1511, 2014. [PDF]
• J. Swan, J. Woodward, E. Özcan, G. Kendall, E. Burke, Searching the Hyper-heuristic Design Space, Cognitive Computation, 6(1), pp. 66-73, 2014 (available online from 2013). [PDF]
• S. Abdul-Rahman, E. K. Burke, A. Bargiela, B. McCollum and E. Özcan, A Constructive Approach to Examination Timetabling based on Adaptive Decomposition and Ordering, Annals of Operations Research, 218 (1),pp. 3-21, 2014 (available online from 2011) [original PDF]. [PDF]
• S. Asta and E. Özcan, An Apprenticeship Learning Hyper-Heuristic for Vehicle Routing in HyFlex, Proceedings of the 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS), pp. 65-72, 2014. [PDF]
• A. Yarimcam, S. Asta, E. Özcan, A. J. Parkes, Heuristic Generation via Parameter Tuning for Online Bin Packing, Proceedings of the 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS), pp. 102-108, 2014. [PDF]
• S. Asta and E. Özcan, A Tensor-based Approach to Nurse Rostering, Proc. of the 10th Int. Conf. of the Practice and Theory of Automated Timetabling (PATAT 2014), pp. 442-445, 2014. [PDF]
• C. Altintas, S.Asta, E. Özcan and T. Yigit, A self-generating memetic algorithm for examination timetabling, Proc. of the 10th Int. Conf. of the Practice and Theory of Automated Timetabling (PATAT 2014), pp. 434-437, 2014. [PDF]
• A. Muklason, A. J. Parkes, B. McCollum and E. Özcan, Fairness in Examination Timetabling: Student Preferences and Extended Formulations, Proc. of the 10th Int. Conf. of the Practice and Theory of Automated Timetabling (PATAT 2014), pp. 512-515, 2014. [PDF]
• Dulce J. Magana-Lozano, E. Özcan and S. E. Conant-Pablos, Decomposition and Recomposition Strategies to Solve Timetabling Problems, Proc. of the 10th Int. Conf. of the Practice and Theory of Automated Timetabling (PATAT 2014), pp. 505-507, 2014. [PDF]
• L. Hong, J. H. Drake, E. Özcan, A step size based self-adaptive mutation operator for evolutionary programming, GECCO (Companion) 2014, pp. 1381-1388. [PDF]
• A. E. I. Brownlee, J. Swan, E. Özcan, A. J. Parkes, Hyperion2: a toolkit for {meta-, hyper-} heuristic research, GECCO (Companion) 2014, pp. 1133-1140.
• W. G. Jackson, E. Özcan and R. I. John, Fuzzy Adaptive Parameter Control of a Late Acceptance Hyper-heuristic, Proceedings of the 14th Annual Workshop on Computational Intelligence (UKCI), pp. 1-8 (119-126), 2014. [PDF]
• S. Turk, R. I. John and E. Özcan, Interval Type-2 Fuzzy Sets in Supplier Selection, Proceedings of the 14th Annual Workshop on Computational Intelligence (UKCI), pp. 1-7 (127-133), 2014. [PDF]
• T. Ercal, E. Özcan and S. Asta, Soft Morphological Filter Optimization Using a Genetic Algorithm for Noise Elimination, Proceedings of the 14th Annual Workshop on Computational Intelligence (UKCI), pp. 1-7 (193-199), 2014. [PDF]
• S. Asta, E. Özcan and P.-O. Siebers, An Investigation on Test Driven Discrete Event Simulation, Proceedings of the 2014 Operational Research Society Simulation Workshop (SW 2014), pp. 35-45. [PDF]

2013

• S. A. Etaner-Uyar, E. Özcan, N. Urquhart (editors), Automated Scheduling and Planning From Theory to Practice, Studies in Computational Intelligence, Volume 505, ISBN: 978-3-642-39303-7 (Print) 978-3-642-39304-4 (Online), 2013. [PDF]
• E. K. Burke, M. Gendreau, M. Hyde, G. Kendall, G. Ochoa, E. Özcan, R. Qu, Hyper-heuristics: A Survey of the State of the Art, Journal of the Operational Research Society, 64 (12) , pp. 1695-1724, 2013. [PDF]
• B. Kiraz, A. S. Uyar, and E. Özcan, Selection Hyper-heuristics in Dynamic Environments, Journal of the Operational Research Society, 64 (12), pp. 1753-1769, 2013. [PDF]
• S. Asta, E. Özcan and A. J. Parkes, Dimension reduction in the search for online bin packing policies, Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion, pp. 65-66, 2013. [PDF]
• G. Uludag, B. Kiraz, A. S. Etaner-Uyar, and E. Özcan, A Hybrid Multi-population Framework for Dynamic Environments Combining Online and Offline Learning, Soft Computing, Volume 17, Issue 12, pp. 2327-2348 [original PDF]. [PDF]
• M. Kalender, A. Kheiri, E. Özcan and E. K. Burke, A Greedy Gradient-Simulated Annealing Hyper-heuristic, Soft Computing, Volume 17, Issue 12, pp. 2279-2292 [original PDF]. [PDF]
• S. Martin, D. Ouelhadj, P. Smet, G. Vanden Berghe, and E. Özcan, Cooperative Search for Fair Nurse Rosters, Expert Systems With Applications, 40 (16), 6674-6683, 2013. [PDF]
• E. Özcan, Z. Kai, J. H. Drake, Bidirectional Best-fit Heuristic Considering Compound Placement for Two Dimensional Orthogonal Rectangular Strip Packing, Expert Systems With Applications 40 (10), pp. 4035-4043, 2013. [PDF]
• E. Özcan, S. Asta and C. Altintas, Memetic Algorithms for Cross-domain Heuristic Search, The 13th Annual Workshop on Computational Intelligence (UKCI), pp. 175-182. [PDF]
• J. C. Ortiz-Bayliss, E. Özcan, A. J. Parkes and H. Terashima-Marin, A Genetic Programming Hyper-heuristic: Turning Features into Heuristics for Constraint Satisfaction, The 13th Annual Workshop on Computational Intelligence (UKCI), pp. 183-190, 2013. [PDF]
• W. Jackson, E. Özcan and J. H. Drake, Late Acceptance-based Selection Hyper-heuristics for Cross-domain Heuristic Search, The 13th Annual Workshop on Computational Intelligence (UKCI), pp. 228-235, 2013. [PDF]
• A. Elhag and E. Özcan, A Grouping Hyper-heuristic Framework based on Linear Linkage Encoding For Graph Coloring, The 13th Annual Workshop on Computational Intelligence (UKCI), pp. 321-326, 2013. [PDF]
• E. Özcan, M. Misir and A. Kheiri, Group Decision Making in Selection Hyper-heuristics, The 13th Annual Workshop on Computational Intelligence (UKCI), pp. 327-333, 2013. [PDF]
• J. C. Ortiz-Bayliss, H. Terashima-Marin, S. E. Conant-Pablos, E. Özcan, A. J. Parkes, Exploring Heuristic Interactions in Constraint Satisfaction Problems: A Closer Look at the Hyper-Heuristic Space, The 2013 IEEE Congress on Evolutionary Computation, pp. 3307-3314, 2013.
• I. A. Guney, G. Kucuk, E. Özcan, Hyper-heuristics for Performance Optimization of Simultaneous Multithreaded Processors, The 28th International Symposium on Computer and Information Sciences, LNEE 264, 2013, pp. 97-106. [PDF]
• S. Abdul-Rahman, A. Bargiela, E. K. Burke, B. McCollum, E. Özcan, Investigation of Multistage Approaches to Examination, Proceedings of the 6th Multidisciplinary Int. conf. on Scheduling: Theory and Applications (MISTA 2013), pp. 528-542, 2013. [PDF]
• A. Elhag, E. Özcan, A Grouping Hyper-heuristic for Graph Colouring, Proceedings of the 6th Multidisciplinary Int. conf. on Scheduling: Theory and Applications (MISTA 2013), pp. 770-773, 2013. [PDF]
• A. Muklason, A. J. Parkes, B. Mccollum, E. Özcan, Initial Results on Fairness in Examination Timetabling, Proceedings of the 6th Multidisciplinary Int. conf. on Scheduling: Theory and Applications (MISTA 2013), pp. 777-780,2013. [PDF]
• S. Asta, E. Özcan, A. J. Parkes and A. S. E. Uyar, Generalizing Hyper-heuristics via Apprenticeship Learning, 13th European Conference on Evolutionary Computation in Combinatorial Optimisation, EvoCOP 2013, LNCS 7832, pp. 169-178. [PDF]
• A. Kheiri and E. Özcan, A Hyper-heuristic with a Round Robin Neighbourhood Selection, 13th European Conference on Evolutionary Computation in Combinatorial Optimisation, EvoCOP 2013, LNCS 7832, pp.1-12, 2013. [PDF]
• S. Asta, E. Özcan, A. J. Parkes, Batched Mode Hyper-heuristics, LION 7, LNCS 7997, pp. 404-409, 2013. [PDF]
• L. Hong, J. Woodward, J. Li, and E. Özcan, Automated Design of Mutation Operators for Evolutionary Programming Using Genetic Programming, EuroGP 2013, LNCS 7831, pp. 85-96, 2013. [PDF]
• B. Kiraz, A. S. Etaner-Uyar, and E. Özcan, An Ant-based Selection Hyper-heuristic for Dynamic Environments, EvoApplications 2013, LNCS 7835, pp. 626-635, 2013. [PDF]
• J. Drake, N. Kililis and E. Özcan, Generation of VNS Components with Grammatical Evolution for Vehicle Routing, EuroGP 2013, LNCS 7831, pp. 25-36, 2013. [PDF]
• P.K. Lehre, E. Özcan, A runtime analysis of simple hyper-heuristics: To mix or not to mix operators, In: Pre-Conference Proceedings of Foundations of Genetic Algorithms XII, pp. 91-98, 2013. [PDF]
• M. K. Y. Shambour, A. T. Khader, A. Kheiri, E. Özcan, A Two Stage Approach for High School Timetabling, ICONIP (1) 2013, LNCS 8226, pp. 66-73.
• J. Swan, J. Drake, E. Özcan, J. Goulding and J. Woodward, A Comparison of Acceptance Criteria for the Daily Car-Pooling Problem, Erol Gelenbe and Ricardo Lent (Eds.) Computer and Information Sciences III, pp. 477-483, 2013. [PDF]

2012

• G. Uludag, B. Kiraz, A. S. Etaner-Uyar, and E. Özcan, Heuristic Selection in a Multi-phase Hybrid Approach for Dynamic Environments, 12th Annual Workshop on Computational Intelligence (UKCI 2012), pp. 1-8, 2012. [PDF]
• M. Kalender, A. Kheiri, E. Özcan and E. K. Burke, A Greedy Gradient-Simulated Annealing Hyper-heuristic for a Curriculum-based Course Timetabling Problem, 12th Annual Workshop on Computational Intelligence (UKCI 2012), pp. 1-8, 2012.
• M. Kole, A. S. Etaner-Uyar, B. Kiraz and E. Özcan, Heuristics for Car Setup Optimisation in TORCS, 12th Annual Workshop on Computational Intelligence (UKCI 2012), pp. 1-8, 2012.
• E. Özcan, A. J. Parkes, A. Alkan, The Interleaved Constructive Memetic Algorithm and its Application to Timetabling, Computers & Operations Research, Volume 39, Issue 10, 2012, pp. 2310-2322, doi:10.1016/j.cor.2011.11.020. [PDF]
• E. K. Burke, G. Kendall, M. Misir and E. Özcan, Monte Carlo hyper-heuristics for examination timetabling, Annals of Operations Research, 196:73-90, 2012. [PDF]
• J. H. Drake, E. Özcan and E. K. Burke, An Improved Choice Function Heuristic Selection for Cross Domain Heuristic Search, PPSN 2012, Lecture Notes in Computer Science 7492, part II, pp. 307-316, 2012. [PDF]
• G. Uludag, B. Kiraz, A. Sima Uyar and E. Özcan, A Framework to Hybridise PBIL and a Hyper-heuristic for Dynamic Environments, PPSN 2012, Lecture Notes in Computer Science 7492, part II, pp. 358-367, 2012. [PDF]
• J.C. O.-Bayliss, H. T.-Marin, S. E. Conant-Pablos, E. Özcan, A. J. Parkes, Improving the Performance of Vector Hyper-heuristics through Local Search, GECCO'12, Proceedings of the fourteenth International Conference on Genetic and Evolutionary Computation Conference, pp. 1269-1276, 2012. [PDF]
• A. J. Parkes, E. Özcan, M. Hyde, Matrix Analysis of Genetic Programming Mutation, EuroGP 2012, Lecture Notes in Computer Science 7244, pp. 158-169, 2012. [PDF]
• T. Pigden, G. Kendall, E. Özcan, R. Eglese, A Library of Vehicle Routing Problems, VeRoLog Conference 2012, accepted. [PDF]
• J. Swan, E. Özcan, G. Kendall, Co-evolving Add and Delete Heuristics, extended abstract, pp. 395-399, PATAT 2012. [PDF]
• P. Smet, S. Martin, D. Ouelhadj, E. Özcan and G. Vanden Berghe, Investigation of Fairness Measures for Nurse Rostering, extended abstract, pp. 369-372, PATAT 2012. [PDF]
• A. Kheiri, E. Özcan, A. J. Parkes, HySST: Hyper-heuristic Search Strategies and Timetabling, abstract, pp. 497-499, PATAT 2012 [Competing Algorithm at ITC2011]. [PDF]
• E. Özcan, A. Elhag, V. Shah, A study of hyper-heuristics for examination timetabling, extended abstract, pp. 410-414, PATAT 2012. [PDF]
• P. K. Lehre, E. Özcan, A Time-Complexity Analysis of Hyper-Heuristics, abstract, ECCO 2012.
• E. Özcan, A. Kheiri, Round-robin strategy-based selection hyper-heuristic, abstract, ECCO 2012.
• G. Secme, L. Ozbakir, E. Özcan, A Hyper-heuristic Approach to Parallel Assembly Line Balancing Problems, abstract, ECCO 2012.

2011

• E. Özcan, and A. Kheiri, A Hyper-heuristic based on Random Gradient, Greedy and Dominance, Erol Gelenbe, Ricardo Lent, Georgia Sakellari (Eds.) Computer and Information Sciences II: 26th International Symposium on Computer and Information Sciences, pp.404-409, 2011. [PDF]
• E. Özcan, and A. J. Parkes, Policy Matrix Evolution for Generation of Heuristics, Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation (GECCO '11), Natalio Krasnogor (Ed.). ACM, New York, NY, USA, pp. 2011-2018 (won the best paper award in the Self-* track), 2011 [original-PDF]. [PDF]
• J. Swan, E. Özcan, G. Kendall, Hyperion - A Recursive Hyper-heuristic Framework, The Learning and Intelligent OptimizatioN Conference (LION5), Lecture Notes in Computer Science 6683, pp. 616-630, 2011. [PDF]
• B. Kiraz, A. Sima Uyar, and E. Özcan, An Investigation of Selection Hyper-heuristics in Dynamic Environments, Applications of Evolutionary Computation, LNCS 6624, pp. 314-323, 2011 [original-PDF]. [PDF]
• J.C. O.-Bayliss, H. T.-Marin, E. Özcan, A. J. Parkes, S.E.C.-Pablos, Variable and Value Ordering Decision Matrix Hyper-heuristics: a Local Improvement Approach, Mexican International Conference on Artificial Intelligence (MICAI 2011), I. Batyrshin and G. Sidorov (Eds.), LNAI 7094, pp. 125-136, 2011. [PDF]
• J.C. O.-Bayliss, H. Terashima-Marin, E. Özcan, A. J. Parkes, On the Idea of Evolving Decision Matrix Hyper-Heuristics for Solving Constraint Satisfaction Problems, Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, pp. 255-256, 2011. [PDF]
• John H. Drake, Ender Özcan and Edmund K. Burke, Controlling Crossover in a Selection Hyper-heuristic Framework, OR53 Annual Conference, abstract. [PDF]
• E. Özcan and A. Kheiri, A Dominance based Hyper-heuristic, OR53 Annual Conference, abstract.
• S. P. Martin, D. Ouelhadj, P. Beullens and E. Özcan, Multi-agent cooperative search using meta-heuristics and reinforcement learning, OR53 Annual Conference, abstract.

2010

• J. Gibbs, G. Kendall and E. Özcan, Scheduling English Football Fixtures over the Holiday Period Using Hyper-heuristics, 11th International Conference on Parallel Problem Solving From Nature, Lecture Notes in Computer Science, Volume 6238, pp. 496-505, 2010. [PDF]
• E. K. Burke, M. Hyde, G. Kendall, G. Ochoa, E. Özcan and J. Woodward, A Classification of Hyper-heuristic Approaches, In Gendreau, Michel and Potvin, Jean-Yves (eds.), Handbook of Metaheuristics, International Series in Operations Research & Management Science, Volume 146, pp. 449-468. Springer, 2010. [PDF]
• E. Özcan, M. Misir , G. Ochoa, E. K. Burke, A Reinforcement Learning - Great-Deluge Hyper-heuristic for Examination Timetabling, International Journal of Applied Metaheuristic Computing, 1(1), pp. 39-59, 2010 [original-PDF]. [PDF]
• S.A. Rahman, A. Bargiela, E. K. Burke, B. McCollum and E. Özcan, A Construction Approach for Examination Timetabling based on Adaptive Decomposition and Ordering, Proc. of the 8th International Conference on the Practice and Theory of Automated Timetabling, pp. 353-372, 2010. [PDF]
• J.C. O.-Bayliss, E. Özcan, A. J. Parkes and H. Terashima-Marin, Mapping the Performance of Heuristics for Constraint Satisfaction, IEEE Congress on Evolutionary Computation 2010: 1-8. [PDF]
• S. Martin, D. Ouelhadj, P. Beullens, E. Özcan, A generic agent-based framework for cooperative hybrid meta-heuristic search, The EURO XXIV conference.
• A. Parkes, E. Özcan, Properties of Yeditepe Examination Timetabling Benchmark Instances, Proc. of the 8th International Conference on the Practice and Theory of Automated Timetabling, pp. 531-534, 2010. [PDF]

2009

• E. K. Burke, M. Hyde, G. Kendall, G. Ochoa, E. Özcan and J. Woodward, Exploring hyper-heuristic methodologies with genetic programming, In C. Mumford and L. Jain (eds.), Computational Intelligence, Intelligent Systems Reference Library, pp. 177-201. Springer, 2009. [PDF]
• O. B. Asik, E. Özcan, Bidirectional Best-fit Approach for Orthogonal Rectangular Strip Packing, Annals of Operations Research, 172:405-427, 2009 (http://dx.doi.org/10.1007/s10479-009-0642-0) [best results in literature, original-PDF]. [PDF]
• E. Özcan, C. Basaran, A Case Study of Memetic Algorithms for Constraint Optimization, Soft Computing: A Fusion of Foundations, Methodologies and Applications, 13(8-9), pp. 871-882, 2009 [original-PDF]. [PDF]
• E. Özcan, Y. Bykov, M. Birben and E. K. Burke, Timetabling Using Late Acceptance Hyper-heuristics, Proc. of the IEEE Congress on Evolutionary Computation (CEC 2009), pp. 997-1004. [PDF]
• S.A. Rahman, A. Bargiela, E. K. Burke, B. McCollum and E. Özcan, Construction of Examination Timetables Based on Ordering Heuristics, Proc. of the 24th International Symposium on Computer and Information Sciences, pp. 727-732, 2009. [PDF]
• M. Hyde, E. Özcan and E. K. Burke, Multilevel Search for Evolving the Acceptance Criteria of a Hyper-Heuristic, Proc. of the 4th Multidisciplinary Int. conf. on Scheduling: Theory and Applications, pp. 798-801, 2009. [PDF]
• E. Özcan and E. K. Burke, Multilevel search for choosing hyper-heuristics, Proc. of the 4th Multidisciplinary Int. conf. on Scheduling: Theory and Applications, pp. 788-789, 2009. [PDF]
• E. Özcan, M. Misir and E. K. Burke, A Self-Organising Hyper-heuristic Framework, Proc. of the 4th Multidisciplinary Int. conf. on Scheduling: Theory and Applications, pp. 784-787, 2009. [PDF]
• E. Özcan, S. E. Uyar and E. K. Burke, A greedy hyper-heuristic in dynamic environments, Proc. of the 11th annual conference companion on Genetic and Evolutionary Computation COnference, WORKSHOP SESSION: Automated heuristic design: crossing the chasm for search methods, pp. 2201-2204, 2009. [PDF]
• D. Ouelhadj, S. Petrovic and E. Özcan, A Multi-level Search Framework for Asynchronous Cooperation of Multiple Hyper-heuristics, Proc. of the 11th annual conference companion on Genetic and Evolutionary Computation COnference, WORKSHOP SESSION: Automated heuristic design: crossing the chasm for search methods, pp. 2193-2196, 2009. [PDF]
• I. Maden, S. Uyar, and E. Özcan, Landscape Analysis Of Simple Perturbative Hyper-Heuristics, Mendel 2009: 15th International Conference on Soft Computing, pp. 16-22, 2009. [PDF]

2008

• E. Özcan, M. Kalender, E. K. Burke, A Greedy-Gradient - Simulated Annealing Hyper-heuristic, accepted and presented in the Workshop on Hyper-heuristics (in PPSN X), 2008.
• M. Birben, K. Esen, E. E. Korkmaz, B. Kulahcioglu, E. Özcan, Grouping Hyper-heuristics, accepted and presented in the Workshop on Hyper-heuristics (in PPSN X), 2008.
• O. Ulker, E. E. Korkmaz, and E. Özcan, A Genetic Algorithm Using Linear Linkage Encoding for Bin Packing, The 10th International Conference on Parallel Problem Solving From Nature, Springer-Verlag, Lecture Notes in Computer Science, vol. 5199, pp. 1140-1149, 2008. [PDF]
• E.K. Burke, M. Misir, G. Ochoa, E. Özcan, Learning Heuristic Selection in Hyperheuristics for Examination Timetabling, Proc. of the Conference on the Practice and Theory of Automated Timetabling, pp. 1-4. [PDF]
• E.K. Burke, G. Kendall, M. Misir, E. Özcan, A Study of Simulated Annealing Hyperheuristics, Proc. of the Conference on the Practice and Theory of Automated Timetabling, 2008, pp. 1-4. [PDF]
• Ender Özcan, Turker Ercal, A Genetic Algorithm for Generating Improvised Music, LNCS 4926, revised and selected papers, EA 2007, pp. 266 - 277, 2008. [PDF]
• Ender Özcan, Burak Bilgin, Emin Erkan Korkmaz, A Comprehensive Analysis of Hyper-heuristics, Intelligent Data Analysis, 12:1, pp. 3-23, 2008. [PDF]

2007

• Hamdi Dibeklioglu, Metin Sezgin, Ender Özcan, A Recognizer for Free-Hand Graph Drawings, In Proc. of the International Workshop on Pen-Based Learning Technologies, Catania, Italy, May 24-25 2007. [PDF]
• Ender Özcan, Alpay Alkan, A Memetic Algorithm for Solving a Timetabling Problem: An Incremental Strategy, Proc. of the 3rd Multidisciplinary Int. Conf. On Scheduling: Theory and Applications, P. Baptiste, G. Kendall, A. M. Kordon, F. Sourd (ed.), pp. 394-401, 28-31 August 2007, Paris, France. [PDF]
• Ersan Ersoy, Ender Özcan, Sima Uyar, Memetic Algorithms and Hyperhill-climbers, Proc. of the 3rd Multidisciplinary Int. Conf. On Scheduling: Theory and Applications, P. Baptiste, G. Kendall, A. M. Kordon, F. Sourd (ed.), pp. 159-166, 28-31 August 2007, Paris, France. [PDF]
• Ender Özcan, Memes, Self-generation and Nurse Rostering, PATAT2006, Springer-Verlag, selected papers, LNCS, vol. 3867, 2007, pp. 85-104. [PDF]
• Burak Bilgin, Ender Özcan, Emin Erkan Korkmaz, An Experimental Study on Hyper-Heuristics and Exam Timetabling, PATAT2006, Springer-Verlag, selected papers, LNCS, vol. 3867, 2007, pp. 394-412. [PDF]
• Ozgur Ulker, Ender Özcan, Emin Erkan Korkmaz, Linear Linkage Encoding in Grouping Problems: Applications on Graph Coloring and Timetabling, PATAT2006, Springer-Verlag, selected papers, LNCS, vol. 3867, 2007, 347-363. [PDF]
• Ender Özcan, Murat Yilmaz, Particle Swarms for Multimodal Optimization, B. Beliczynski et al. (Eds.): ICANNGA07, Springer-Verlag, Lecture Notes in Computer Science, vol. 4431, 366-375. [PDF]
• Ender Özcan, Esin Onbasioglu, Memetic Algorithms for Parallel Code Optimization, International Journal of Parallel Programming, Volume 35, Number 1 / February, 33-61. [PDF]

2006

• Ender Özcan, An Empirical Investigation on Memes, Self-generation and Nurse Rostering, Proc. of the 6th International Conference on the Practice and Theory of Automated Timetabling, 2006, 246-263. [PDF]
• Burak Bilgin, Ender Özcan, Emin Erkan Korkmaz, An Experimental Study on Hyper-Heuristics and Exam Timetabling, Proc. of the 6th International Conference on the Practice and Theory of Automated Timetabling, 2006, 123-140. [PDF]
• Ender Özcan, Burak Bilgin, Emin Erkan Korkmaz, Hill Climbers and Mutational Heuristics in Hyperheuristics, Lecture Notes in Computer Science, Springer-Verlag, The 9th International Conference on Parallel Problem Solving From Nature, 2006, pp. 202-211. [PDF]
• Ozgur Ulker, Ender Özcan, Emin Erkan Korkmaz, Linear Linkage Encoding in Grouping Problems: Applications on Graph Coloring and Timetabling, Proc. of the 6th International Conference on the Practice and Theory of Automated Timetabling, 2006, 303-319. [PDF]

2005

• E. Özcan, Memetic Algorithms for Nurse Rostering, Lecture Notes in Computer Science, Springer-Verlag, The 20th International Symposium on Computer and Information Sciences, vol. 3733, pp. 482-492, 2005. [PDF]
• E. Özcan, E. Ersoy, Final Exam Scheduler - FES, Proc. of 2005 IEEE Congress on Evolutionary Computation, vol. 2, pp 1356-1363, September 2005. [PDF]
• E. Özcan, Towards an XML based standard for Timetabling Problems: TTML, Multidisciplinary Scheduling: Theory and Applications, Springer Verlag, 163 (24), May 2005. [PDF]

2004

• E. Özcan, and M. Erenturk, A Brief Review of Memetic Algorithms for Solving Euclidean 2D Traveling Salesrep Problem, Proc. of the 13th Turkish Symposium on Artificial Intelligence and Neural Networks, pp. 99-108, June 2004. [T81 TSP data: Turkey - 81 cities]. [PDF]
• E. Özcan, and B. Hulagu, A Simple Intelligent Agent for Playing Abalone Game: ABLA, Proc. of the 13th Turkish Symposium on Artificial Intelligence and Neural Networks, pp. 281-290, June 2004. [PDF]
• E. Özcan, E. Onbasioglu, Genetic Algorithms for Parallel Code Optimization, Proc. of 2004 IEEE Congress on Evolutionary Computation, vol. 2, pp. 1775-1781. [PDF]
• E. Özcan, S. E. Seker, Z. I. Karadeniz, Generating Java Class Skeleton Using A Natural Language Interface, Proc. of the 1st International Workshop on Natural Language Understanding and Cognitive Science, NLUCS - 2004, In conjunction with ICEIS 2004, pp. 126-134, April 2004. [PDF]

2003

• A. Alkan, E. Özcan, Memetic Algorithms for Timetabling, Proc. of 2003 IEEE Congress on Evolutionary Computation, pp. 1796-1802, December 2003. [PDF]
• E. Özcan, Towards an XML based standard for Timetabling Problems: TTML, Proc. of the First Multidisciplinary International Conference on Scheduling: Theory and Applications, pp.566-569, August 2003. [PDF]

2002

• E. Özcan, A. Alkan, Timetabling using a Steady State Genetic Algorithm, Proc. of the 4th International Conference on the Practice and Theory of Automated Timetabling, pp.104-107, August 2002. [PDF]

1999

• E. Özcan, C. K. Mohan, Particle Swarm Optimization: Surfing the Waves (66K, compressed ps file), Proc. of IEEE 1999 Congress on Evolutionary Computation, pp. 1939-1944, Piscataway, NJ: IEEE Service Center. [PDF]
• E. Özcan, Analysis of Particle Velocities in a Particle Swarm Optimization System, 8th Turkish Symposium on Artificial Intelligence and Neural Networks, pp. 257-266, June 1999.

1998

• E. Özcan, Shape matching using Genetic Algorithms, PhD Thesis, Syracuse University, August 1998. [This thesis contains description of one of the first discrete Particle Swarm Optimisation variants, applied to shape recognition]. [PDF]
• E. Özcan, C. K. Mohan, Analysis of a Simple PSO System, Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 8, pp. 253-258, October 1998. [PDF]
• E. Özcan, C. K. Mohan, Steady State Memetic Algorithm for Partial Shape Matching, Lecture Notes in Computer Science, V. William Porto and N. Saravanan and Donald E. Waagen and A. E. Eiben, Ed., Evolutionary Programming VII, 7th International Conference, EP98, San Diego, CA, USA, Springer, Berlin, vol. 1447, pp. 527-536, March 25-27 1998.. [PDF]

1997

• E. Özcan, C. K. Mohan, Partial Shape Matching using Genetic Algorithms, Pattern Recognition Letters, 18:987-992, October 1997. [PDF]

1996

• E. Özcan, C. K. Mohan, Simulated Annealing and Genetic Algorithms for Partial Shape Matching, Proc. of IEEE XI Intl. Symp. on Computer and Information Sciences, pp. 173-181, Nov. 1996. [PDF]
• E. Özcan, C. K. Mohan, Shape Recognition using Genetic Algorithms, Proc. of IEEE Intl. Conf. on Evolutionary Computation, pp. 414-420, May 1996.

[TR] Publications

2005

• E. Yavuz, E. Özcan, E. E. Korkmaz, Türkiye Haritas? Üzerinde Gezgin Sat?c? Probleminin Kar?nca Sistemleri ile Çözülmesi, The 14th Turkish Symposium on Artificial Intelligence and Neural Networks, pp. 193-200, 16-17 June 2005.[T81 TSP verisi: Türkiye - 81 il merkezi]. [PDF]

2003

• I. Maden, S. Demir, E. Özcan, Türkçe den SQL Sorgularına Çeviri Yapan Bir Doğal Dil İşleme Uygulaması (NALAN-TS) (Turkish Natural Language Interface For Generating SQL Queries (NALAN-TS)), TBD 20. Ulusal Bilisim Kurultayı, December 2003, presented. [PDF]
• O. Ulker, E. Özcan, Çizge Boyama Problemleri için Evrimsel Tabu Arama Algoritması (ETA) (Evolutionary Tabu Search Algorithm For Graph Coloring Problem), TBD 20. Ulusal Bilisim Kurultayı, December 2003, presented. [PDF]
• E. Özcan, Zaman Çizelgeleme Problemleri için Standart Bir Veri Formatı Çalışması: TTML, Proc. of the 12thTurkish Symposium on Artificial Intelligence and Neural Networks, pp. 51-53, July 2003. [PDF]

2002

• E. Özcan, A. Alkan, Çok Nüfuslu Kararlı Hal Genetik Algoritması Kullanarak Otomatik Çizelgeleme, TBD 19. Bilişim Kurultayı, pp. 149-155, September 2002. [PDF]

UnRefereed Publications

2003

• E. Ozcan, Türkiye deki Üniversitelerde İnternet Tabanlı Akademik Kayıt ve Not Takip Sistemleri (Internet based Academic Registration and Grade Follow-up Systems in Turkey), Akademik Bilişim 2003, ref.100., Akademik Bilisim 2003, ref.100. [PDF]
• E.Ozcan, A. Akan, S. Demir, M. A. Ergin, H. Kul, S. E. Seker, STARS - Öğrenci Transkript ve Ders Kayıt Sistemi, Açık Kaynaklı Bir İnternet Uygulaması (STARS - Student Transcript, Administration and Registration System, an Open Source Internet Application), Akademik Bilişim 2003, ref.87. [PDF]